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Smoothing

Known as: Smooth-down, Smoothes down, Smoothing (disambiguation) 
In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the… 
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Papers overview

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Highly Cited
2019
Highly Cited
2019
The generalization and learning speed of a multi-class neural network can often be significantly improved by using soft targets… 
Highly Cited
2019
Highly Cited
2019
We show how to turn any classifier that classifies well under Gaussian noise into a new classifier that is certifiably robust to… 
Highly Cited
2015
Highly Cited
2015
Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014… 
Highly Cited
2013
Highly Cited
2013
  • Simo Särkkä
  • 2013
  • Corpus ID: 32945148
Filtering and smoothing methods are used to produce an accurate estimate of the state of a time-varying system based on multiple… 
Highly Cited
2008
Highly Cited
2008
In this paper, we present incremental smoothing and mapping (iSAM), which is a novel approach to the simultaneous localization… 
Highly Cited
2005
Highly Cited
2005
Abstract.In this paper we propose a new approach for constructing efficient schemes for non-smooth convex optimization. It is… 
Highly Cited
2005
Highly Cited
2005
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set… 
Highly Cited
1996
Highly Cited
1996
We present an extensive empirical comparison of several smoothing techniques in the domain of language modeling, including those… 
Review
1985
Review
1985
This paper is a critical review of exponential smoothing since the original work by Brown and Holt in the 1950s. Exponential… 
Highly Cited
1967
Highly Cited
1967
In this paper we generalize the results of [4] and modify the algorithm presented there to obtain a better rate of convergence.